Abstract
To acquire higher network capacity, the cell selection problem is formulated based on the partially observable Markov decision process (POMDP). It observes/predicts unavailable cell loading information from those non-serving base stations and takes actions for maintaining active base station set and handover target selection. Various utility functions are designed to consider different factors in the proposed POMDP-based cell selection (POCS) schemes, including system capacity, handover time, and mobility of mobile station. With the considerations of cell load as a hidden Markov model and predicted mobility in the reward function, simulation results show that the proposed POCS schemes can outperform conventional received signal strength based and load balancing methods.
Original language | English |
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Article number | 6777395 |
Pages (from-to) | 797-800 |
Number of pages | 4 |
Journal | IEEE Communications Letters |
Volume | 18 |
Issue number | 5 |
DOIs | |
State | Published - 1 Jan 2014 |
Keywords
- Cell selection
- hidden Markov model
- Partially observable Markov decision process